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Brighthouse Financial, Inc.: filings

Every Brighthouse Financial, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 37 filings, each linked to its SEC index.

Filings with published measures

Each page shows what one filing reported, as tagged in that filing, with the periods it covered. Later filings can restate a value; the company overview shows the latest-filed value per period.

FormFiledFiscal periodMeasuresFactsSEC accession
10-Q2026-08-06fiscal Q2 202628880001685040-26-000028
10-Q2026-05-07fiscal Q1 202628600001685040-26-000019
10-K2026-02-24fiscal FY 202530850001685040-26-000011
10-Q2025-11-07fiscal Q3 202528880001685040-25-000071
10-Q2025-08-08fiscal Q2 202528880001685040-25-000048
10-Q2025-05-09fiscal Q1 202528600001685040-25-000018
10-K2025-02-28fiscal FY 202430870001685040-25-000010
10-Q2024-11-08fiscal Q3 202428920001685040-24-000053
10-Q2024-08-08fiscal Q2 202428920001685040-24-000037
10-Q2024-05-08fiscal Q1 202428620001685040-24-000019
10-K2024-02-22fiscal FY 2023301380001685040-24-000007
10-Q2023-11-08fiscal Q3 202328990001685040-23-000073
10-Q2023-08-09fiscal Q2 202328990001685040-23-000056
10-Q2023-05-09fiscal Q1 202328690001685040-23-000028
10-K2023-02-23fiscal FY 202231890001685040-23-000011
10-Q2022-11-08fiscal Q3 202230960001685040-22-000051
10-Q2022-08-05fiscal Q2 202230960001685040-22-000045
10-Q2022-05-10fiscal Q1 202230660001685040-22-000020
10-K2022-02-24fiscal FY 202131890001685040-22-000006
10-Q2021-11-05fiscal Q3 202130960001685040-21-000041
10-Q2021-08-06fiscal Q2 202130960001685040-21-000029
10-Q2021-05-10fiscal Q1 202130660001685040-21-000018
10-K2021-02-24fiscal FY 202031890001685040-21-000008
10-Q2020-11-06fiscal Q3 202030960001685040-20-000034
10-Q2020-08-07fiscal Q2 202030960001685040-20-000028
10-Q2020-05-11fiscal Q1 202030660001685040-20-000018
10-K2020-02-26fiscal FY 2019331450001685040-20-000007
10-Q2019-11-05fiscal Q3 201929940001685040-19-000042
10-Q2019-08-06fiscal Q2 201929940001685040-19-000032
10-Q2019-05-07fiscal Q1 201927600001685040-19-000020
10-K2019-02-26fiscal FY 2018311320001685040-19-000009
10-Q2018-11-06fiscal Q3 201827800001685040-18-000031
10-Q2018-08-07fiscal Q2 201826750001685040-18-000019
10-Q2018-05-09fiscal Q1 201824530001685040-18-000007
10-K2018-03-16fiscal FY 201727930001167609-18-000005
10-Q2017-11-09fiscal Q3 201723650001167609-17-000091
10-Q2017-08-15fiscal Q2 201718560001167609-17-000067

Inspect the source

Entity
Brighthouse Financial, Inc. / CIK 0001685040
Captured
2026-09-21T17:23:53.076Z
SEC response SHA-256
7d7df461415262bb3d99aec40ddcd3a98fccda1b2e273fd4af926e762f9d7637

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Every published concept a filing tagged, with the periods it covered, as reported in that filing at capture time. Forms 10-K, 10-K/A, 10-Q, 10-Q/A, 20-F, 20-F/A, 40-F, 40-F/A. A filing page needs at least 8 published concepts. Later filings can restate these values; the company history pages show the latest-filed value per period.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001685040.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))